• Partners with scientists, engineers, and community collaborators to curate and coordinate multimodal biomedical datasets. • Guide researchers through data ingestion into data hubs. • Support the development of data models and annotations for specialized biomedical data types. • Contribute to data governance and workflow design that enable discovery-driven science. • Apply metadata standards and contribute to improving data management plans across research projects. • Independently manage datasets and ensures appropriate metadata documentation and lifecycle management. • Identify and resolve inconsistencies to validate datasets and metadata and ensure research readiness. • Apply tools and automation techniques, including AI to improve efficiency of data management tasks such as metadata extraction, validation, and documentation. • Coordinate with engineering, governance, and scientific teams to implement consistent data standards across projects. • Provide guidance on data-sharing tools, standards, and best practices for contributors.